Graph-based filtering is a technique leveraging graph structures to enhance data processing and analysis by exploiting relationships and dependencies between data points. This method is particularly effective in domains like recommendation systems, denoising signals, and ranking tasks, as it provides a robust framework for capturing the intrinsic geometry of data.